Crate bixverse_core 

Core numerics for the bixverse crates: sparse structures, linear algebra, correlations, statistics, SIMD helpers, clustering and Gaussian processes. Everything else in the workspace builds on this crate.

Feature flags

• accelerate — Routes dense CPU GEMMs through Apple Accelerate on macOS (no effect elsewhere). Decompositions (SVD, eigen) stay on faer, which is faster there.

Modules

core

Various core functions that include mathematical functions used across different methods in this crate, think correlation, distance metrics, linear algebra). Additionally, also has synthetic data for assumption testing on bulk data.

errors

Errors raised by bixverse-core.

ml

Various machine learning implementations that can be useful for bioinformatics, such as clustering methods, etc.

prelude

Various functions, structures, etc. to expose more broadly when using this crate in other libraries

utils

All type of utility modules with shared code that does not fit fully into other modules. Has assertion macros, structures designed for the heap, traits and their implementations, R <> Rust interface functions and more.

Macros

assert_nrows

Assertion that two matrices have the same number of rows.

assert_same_dims

Assertion that two matrices have the same dimensions (rows and columns).

assert_same_len

Assertion that all vectors have the same length.

assert_symmetric_mat

Assertion that a matrix is symmetric.

Constants

VERSION

Version of this crate.